Design and implement solutions that structure medical data efficiently, support clinicians in creating medical documentation and improve overall patient visit workflow
Improve quality of results from LLMs by applying various techniques like fine-tuning Large Language Models (LLMs) for the medical domain
Collaborate with other team members as well as healthcare professionals to understand their needs, translate them into technical requirements and evaluate feasibility of solutions
Lead the evaluation and adoption of new technologies and methodologies from the domain of AI, machine learning and NLP
Provide technical leadership to other team members
Communicate complex technical details in an understandable manner to non-technical stakeholders
Adhere to ethical AI practices and data privacy regulations
Gain understanding of medical terminologies and clinical data models
Wymagania
Professional hands-on experience in software engineering, with a focus on NLP, generative AI and general software engineering practices.
Proficiency in Python or Java with experience in libraries used for interacting with LLMs (LangChain, AutoGen, LangChain4J, Huggingface or vendor-specific libraries)
Experience with deep learning models, especially Large Language Models, including fine-tuning, RAG, function calling, implementation and optimization of models like GPT-4, Gemini, Claude, Mistral, PaLM 2 etc.
Experience with delivering LLM-powered applications to production environments, including observability and evaluation on productionalized applications
Experience in Prompt Engineering and various prompting techniques (eg. few-shot prompting) to enhance LLM’s performance on specific tasks.
Strong experience working with machine learning and natural language processing techniques and tools.
Ability to deliver solutions from ideation until production
Professional experience with cloud platforms like AWS, Azure or Google Cloud with focus on cloud services related to machine learning, NLP
Proven track of leading a cross-functional technical team
Fluent English
Oferujemy
Hands-on experience working with standard medical terminologies like SNOMED CT, LOINC, RxNorm
Experience building solutions for data structurization, named entity recognition, AI-powered assistants (similar to GitHub Copilot)
Hands-on experience with clinical data models and using NLP to explore EHR records
Experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, scikit-learn, TensorFlow, PyTorch, transformers etc.
Experience with OCR and understanding of its application in document analysis and recognition
M.Sc. or PhD in Computer Science, Physics, Statistics, Mathematics or equivalent degree
